Triple
T18860277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calasetta |
E461292
|
entity |
| Predicate | localMinorityLanguage |
P2267
|
FINISHED |
| Object | Tabarchino |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tabarchino | Statement: [Calasetta, localMinorityLanguage, Tabarchino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabarchino Context triple: [Calasetta, localMinorityLanguage, Tabarchino]
-
A.
Tabarchino
chosen
Tabarchino is a Ligurian-based Romance dialect spoken in parts of Sardinia, particularly on the islands of San Pietro and Sant’Antioco, where it holds recognized regional language status.
-
B.
Buccheri
Buccheri is a small historic town in southeastern Sicily, Italy, known for its traditional architecture and scenic setting in the Hyblaean Mountains.
-
C.
Campagnola
Campagnola is a locality or district that forms part of the municipality of Concesio in northern Italy.
-
D.
Schignano
Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
-
E.
Baschi
Baschi is a small Italian municipality in the Umbria region, known for its medieval historic center and scenic position near the Tiber River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c05fb800819098951ec134a1fa2a |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 10, 2026, 11:57 a.m.